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Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease
Heribert Schunkert, Inke R. König, Sekar Kathiresan, Muredach P. Reilly, Themistocles L. Assimes, Hilma Hólm, Michael Preuß, Alexandre F.R. Stewart, Maja Barbalić, Christian Gieger, Devin Absher, Zouhair Aherrahrou, Hooman Allayee, David Altshuler, Sonia S. Anand, Karl Andersen, Jeffrey L. Anderson, Diego Ardissino, Stephen G. Ball, Anthony J. Balmforth, Timothy Barnes, Diane M. Becker, Lewis C. Becker, S. Matthijs Boekholdt, Eric Boerwinkle, Peter S. Braund, Mary Susan Burnett, Ian Buysschaert, John F. Carlquist, Li Chen, Sven Cichon, Veryan Codd, R. W. Davies, George Dedoussis, Abbas Dehghan, Serkalem Demissie, Joseph M. Devaney, Patrick Diemert, Ron Do, Angela Doering, Sandra Eifert, Nour Eddine El Mokhtari, Stephen G. Ellis, Roberto Elosúa, James C. Engert, Stephen E. Epstein, Ulf dé Fairé, Marcus Fischer, Aaron R. Folsom, Jennifer Freyer, Bruna Gigante, Domenico Girelli, Sólveig Grétarsdóttir, Vilmundur Guðnason, Jeffrey R. Gulcher, Eran Halperin, Naomi Hammond, Stanley L. Hazen, Albert Hofman, Benjamin D. Horne, Thomas Illig, Carlos Iribarren, Gregory T. Jones, J. Wouter Jukema, Michael Kaiser, Lee M. Kaplan, John J.P. Kastelein, Kay‐Tee Khaw, Joshua W. Knowles, Genovefa Kolovou, Augustine Kong, Reijo Laaksonen, Diether Lambrechts, Karin Leander, Guillaume Lettre, Mingyao Li, Wolfgang Lieb, Christina Loley, Andrew Lotery, Pier Mannuccio Mannucci, Seraya Maouche, Nicola Martinelli, Pascal McKeown, Christa Meisinger, Thomas Meitinger, Olle Melander, Pier Angelica Merlini, Vincent Mooser, Thomas M. Morgan, Joseph B. Muhlestein, Thomas Münzel, Janja Nahrstaedt, Christopher P. Nelson, Markus M. Nöthen, Oliviero Olivieri, Riyaz S. Patel, C. C. Patterson, Annette Peters, Flora Peyvandi, Liming Qu, Arshed A. Quyyumi, Daniel J. Rader, Lοukianos S. Rallidis, Catherine M. Rice, Frits R. Rosendaal, Deborah C. Rubin, Veikko Salomaa, M. Lourdes Sampietro, Manj S. Sandhu, Eric E. Schadt, Arne Schäfer, Arne Schillert, Stefan Schreiber, Jürgen Schrezenmeir, Stephen M. Schwartz, David S. Siscovick, Mohan U. Sivananthan, Suthesh Sivapalaratnam, Albert V. Smith, Tamara Smith, Jaapjan D. Snoep, Nicole Soranzo, John A. Spertus, Klaus Stark, Kathy Stirrups, Monika Stoll, W.H. Wilson Tang, Stephanie Tennstedt, Guðmundur Þorgeirsson, Guðmar Þorleifsson, Maciej Tomaszewski, André G. Uitterlinden, André M. van Rij, Benjamin F. Voight, George A. Wells, H-Erich Wichmann, Philipp S. Wild, Christina Willenborg, J. C. M. Witteman, Benjamin J. Wright, Shu Ye, Tanja Zeller, Andreas Ziegler, François Cambien, Alison H. Goodall, L. Adrienne Cupples, Thomas Quertermous, Winfried März, Christian Hengstenberg, Stefan Blankenberg, Willem H. Ouwehand, Alistair S. Hall, Panos Deloukas, John R. Thompson, Kāri Stefánsson, Robert Roberts, Unnur Þorsteinsdóttir, Christopher J. O’Donnell, Ruth McPherson, Jeanette Erdmann
Bibliographic record
VenueNature Genetics · 2011
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsMcGill UniversityMcMaster UniversityUniversité de MontréalPopulation Health Research InstituteMontreal Heart InstituteCanadian Heart Research CentreHamilton Health SciencesUniversity of Ottawa
FundersNational Heart, Lung, and Blood InstituteEconomic and Social Research CouncilBritish Heart Foundation
KeywordsBiologyCoronary artery diseaseGenome-wide association studyGenotypingGeneticsAlleleGenetic associationCADSingle-nucleotide polymorphismBioinformaticsInternal medicineGeneGenotypeMedicine
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.013
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.020
GPT teacher head0.316
Teacher spread0.295 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreReview
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations1,951
Published2011
Admission routes1
Has abstractno